Comments (3)
when I add ‘--std=c++11’ in _run_cmd()
it failed
Have a look here: https://stackoverflow.com/questions/59342888/tensorflow-error-this-file-requires-compiler-and-library-support-for-the-iso-c
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when I add ‘--std=c++11’ in _run_cmd()
it failed
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thank you very much , it solve my problem!!!
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Related Issues (20)
- Sorry, but I suspect your FID is fake HOT 8
- "W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. " & "tensorflow.python.framework.errors_impl.NotFoundError: /home/paperspace/stylegan2/dnnlib/tflib/_cudacache/fused_bias_act_afa4ff47e864043461655b92eafcdf5f.so: undefined symbol: _ZN10tensorflow12OpDefBuilder5InputESs" HOT 1
- Don't use pickle to share weights HOT 3
- (gen_img[:, 0, 0, 0] * 0 + loss_Gpl) ... but why? HOT 1
- NVCC error. Compilation of custom CUDA ops on Windows 10 for Tensorflow 2.x HOT 5
- Error: Unable to allocate 0 bytes for an array with shape HOT 2
- Continue training HOT 4
- nvcc fatal
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- transfer learning with custom dataset has dominant influence HOT 2
- ValueError: axes don't match array, images will work one run and not work the next
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